Keynote Speech

Conic Optimization Approaches to Cooperative Routing Problem and Polynomial Optimization

Makoto Yamashita received his master’s and doctoral degrees from the Tokyo Institute of Technology. He began his academic career as an assistant professor at Kanagawa University and the Tokyo Institute of Technology. He subsequently advanced to the positions of associate professor and full professor at the Tokyo Institute of Technology. Following the establishment of the Institute of Science Tokyo in October 2024, resulting from a university merger, he has been serving as a professor in the Department of Mathematical and Computing Science at the Institute of Science Tokyo.

His research interests encompass nonlinear optimization and conic optimization, with a particular focus on semidefinite programming and second-order cone programming. He is also dedicated to applying these optimization methods to practical problems and developing efficient numerical algorithms.

Leveraging NVIDIA Omniverse for Sustainable Digital Manufacturing: The Future of Industry with Digital Twins

Andrew Lu received his bachelor’s, master’s and doctoral degrees from the Department of Industrial and Information Management, National Cheng Kung University at Taiwan. He is a senior deep learning solution architect at NVIDIA, assist customers in building innovative solutions based on NVIDIA technology. His research interests are in the area of applying machine learning algorithms to real world problems. Prior to NVIDIA, Andrew was a machine learning engineer at Foxconn. He took the lead of the analytical team, developed various kinds of predictive modeling projects centered around manufacturing processes, including defect inspection and predictive maintenance, etc. During Ph.D. program, he has worked as a visiting scholar at Los Alamos National Laboratory's Bio Science Team, working on Human and Environmental Microbiome Projects.